Great question. Models for generating plausible recipes have existed in some form for about a decade now. Arguably the first "successful" attempt at this was C

Great question. Models for generating plausible recipes have existed in some form for about a decade now. Arguably the first "successful" attempt at this was Chef Watson, which blew my mind when it was first released in 2014 despite its well-documented tendency to suggest all kinds of spectacularly odd combinations of flavors and ingredients, like garlic ice cream and mayonnaise-spiked Bloody Marys[1]. It's worth noting that preprocessing the textual inputs isn't entirely necessary to produce somewhat reasonable, ML-generated recipes. For example GPT-3 is capable of generating fairly interesting zero-shot recipes, despite having been trained on raw text data without any preliminary feature selection to label (e.g.) a recipe's ingredients.[2] Still not exempt from the occasional wacky, whimsical suggestion[3], but I, for one, wouldn't want my ML-generated recipes any other way. 1. https://www.google.com/amp/s/www.newyorker.com/magazine/2016/11/28/cooking-with-chef-watson-ibms-artificial-intelligence-app/amp https://www.google.com/amp/s/www.newyorker.com/magazine/2016... 2. https://github.com/LARC-CMU-SMU/RecipeGPT-exp https://github.com/LARC-CMU-SMU/RecipeGPT-exp 3. https://thenextweb.com/news/ai-generated-recipes-three-course-meal-gpt-3-artificial-intelligence/amp https://thenextweb.com/news/ai-generated-recipes-three-cours...